Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11876607 | PMC |
| http://dx.doi.org/10.1038/s41416-025-02940-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments.
Elife
March 2025
Machine Learning Core, National Institute of Mental Health, Bethesda, United States.
Fiber photometry has become a popular technique to measure neural activity in vivo, but common analysis strategies can reduce the detection of effects because they condense signals into summary measures, and discard trial-level information by averaging . We propose a novel photometry statistical framework based on functional linear mixed modeling, which enables hypothesis testing of variable effects at , and uses trial-level signals without averaging. This makes it possible to compare the timing and magnitude of signals across conditions while accounting for between-animal differences.
View Article and Find Full Text PDFCorrigendum: Exploring the impact of HDL and LMNA gene expression on immunotherapy outcomes in NSCLC: a comprehensive analysis using clinical & gene data.
Front Oncol
February 2025
Department of Oncology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
[This corrects the article DOI: 10.3389/fonc.2024.
View Article and Find Full Text PDFUnsupervised semantic label generation in agricultural fields.
Front Robot AI
February 2025
Center for Robotics, University of Bonn, Bonn, Germany.
Robust perception systems allow farm robots to recognize weeds and vegetation, enabling the selective application of fertilizers and herbicides to mitigate the environmental impact of traditional agricultural practices. Today's perception systems typically rely on deep learning to interpret sensor data for tasks such as distinguishing soil, crops, and weeds. These approaches usually require substantial amounts of manually labeled training data, which is often time-consuming and requires domain expertise.
View Article and Find Full Text PDFPedal acceleration time is related to arterial stiffness in patients with chronic limb-threatening ischemia.
J Vasc Bras
February 2025
Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, MG, Brasil.
Background: Pedal acceleration time (PAT) is a novel indicator of peripheral arterial disease in the lower limbs. Elevated PAT values are associated with worse limb ischemia. Arterial stiffness indexes are another class of indicators recently studied in patients with chronic limb-threatening ischemia (CLTI).
View Article and Find Full Text PDFPublisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images.
Sci Rep
March 2025
Institute of Optoelectronics, Military University of Technology, Gen. S. Kaliskiego 2, 00-908, Warsaw, Poland.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!